Automatic Speech Recognition
Transformers
JAX
TensorBoard
Norwegian
whisper
audio
asr
hf-asr-leaderboard
Instructions to use NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLabArchive/scream_sextusdecimus_virtual_tsfix_small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9fe417bc401cc9d361b148f2cdc8ff35cbdbba77a488c1038c26042ac6cdee33
- Size of remote file:
- 967 MB
- SHA256:
- 8bf6a2d2120aa9543f88a8a26950d769087400ee5a8b39cbd80abc90e0c8838d
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